{"id":"https://openalex.org/W4409475656","doi":"https://doi.org/10.1109/ised63599.2024.10957009","title":"Machine Learning-Driven Analysis of Smartphone IMU Data for Position and Step Counting","display_name":"Machine Learning-Driven Analysis of Smartphone IMU Data for Position and Step Counting","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4409475656","doi":"https://doi.org/10.1109/ised63599.2024.10957009"},"language":"en","primary_location":{"id":"doi:10.1109/ised63599.2024.10957009","doi":"https://doi.org/10.1109/ised63599.2024.10957009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ised63599.2024.10957009","pdf_url":null,"source":{"id":"https://openalex.org/S7407088698","display_name":"International Conference on Intelligent Systems and Embedded Design (ISED)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Intelligent Systems and Embedded Design (ISED)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117164025","display_name":"Pragati Dhage","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148176","display_name":"Kalpavriksh","ror":"https://ror.org/04c5nsm37","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210148176"]},{"id":"https://openalex.org/I4387154447","display_name":"Papal Seminary","ror":"https://ror.org/04g5g3b04","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4387154447"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pragati Dhage","raw_affiliation_strings":["Hella India Automotive Pvt. Ltd.,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hella India Automotive Pvt. Ltd.,Pune,India","institution_ids":["https://openalex.org/I4210148176","https://openalex.org/I4387154447"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068683357","display_name":"Shubhangi Shankpale","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210148176","display_name":"Kalpavriksh","ror":"https://ror.org/04c5nsm37","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210148176"]},{"id":"https://openalex.org/I4387154447","display_name":"Papal Seminary","ror":"https://ror.org/04g5g3b04","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4387154447"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubhangi Shankpale","raw_affiliation_strings":["Hella India Automotive Pvt. Ltd.,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hella India Automotive Pvt. Ltd.,Pune,India","institution_ids":["https://openalex.org/I4210148176","https://openalex.org/I4387154447"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35097634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7875999808311462,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7875999808311462,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.17820000648498535,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.01979999989271164,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smartphone-accelerometer","display_name":"smartphone accelerometer","score":0.8059999942779541},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"inertial measurement unit","score":0.8989999890327454},{"id":"https://openalex.org/keywords/step-counting","display_name":"step counting","score":0.8259999752044678},{"id":"https://openalex.org/keywords/step-detection","display_name":"step detection","score":0.5429999828338623},{"id":"https://openalex.org/keywords/smartphone-localization","display_name":"smartphone localization","score":0.7120000123977661},{"id":"https://openalex.org/keywords/device-orientation","display_name":"device orientation","score":0.6069999933242798},{"id":"https://openalex.org/keywords/wearable-sensing","display_name":"wearable sensing","score":0.3790000081062317},{"id":"https://openalex.org/keywords/user-behavior-tracking","display_name":"user behavior monitoring","score":0.4749999940395355}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8103474974632263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7121570706367493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562832236289978},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5451537370681763},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37251460552215576},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ised63599.2024.10957009","doi":"https://doi.org/10.1109/ised63599.2024.10957009","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ised63599.2024.10957009","pdf_url":null,"source":{"id":"https://openalex.org/S7407088698","display_name":"International Conference on Intelligent Systems and Embedded Design (ISED)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 12th International Conference on Intelligent Systems and Embedded Design (ISED)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2017634428","https://openalex.org/W2044437939","https://openalex.org/W2084101959","https://openalex.org/W2728738606","https://openalex.org/W2792576649","https://openalex.org/W3008712919","https://openalex.org/W4280585693"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2898126303","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"Smartphones":[0],"have":[1],"become":[2],"extremely":[3],"useful":[4],"instruments":[5],"in":[6,32,51,96],"the":[7,33,68,71,78,112,127],"field":[8],"of":[9,28,35,38,41,70,105,134],"ubiquitous":[10],"computing":[11],"for":[12],"tracking":[13],"and":[14,18,66,100,103,122,131],"interpreting":[15],"user":[16,120],"whereabouts":[17],"motions.":[19],"Modern":[20],"smartphones":[21],"are":[22],"equipped":[23],"with":[24],"a":[25,36],"wide":[26],"array":[27],"sensors,":[29],"which":[30,107],"results":[31],"generation":[34],"plethora":[37],"data":[39,91],"reflective":[40],"various":[42],"positional":[43],"states.":[44],"This":[45,114],"study":[46],"investigates":[47],"how":[48],"smartphone":[49],"accelerometers":[50],"particular,":[52],"can":[53,74],"be":[54],"used":[55],"as":[56],"Inertial":[57],"Measurement":[58],"Unit":[59],"(IMU)":[60],"sensors":[61],"to":[62,98],"detect":[63,99],"human":[64],"steps":[65,102],"determine":[67,77],"position":[69],"device.":[72],"We":[73],"also":[75],"accurately":[76],"phone's":[79],"orientation":[80],"by":[81,125],"carefully":[82],"examining":[83],"these":[84],"signals.":[85],"In":[86],"addition,":[87],"we":[88],"process":[89],"accelerometer":[90],"using":[92],"machine":[93],"learning":[94],"methods":[95],"order":[97],"count":[101],"localization":[104],"phones":[106],"is":[108],"then":[109],"deployed":[110],"on":[111],"smartphone.":[113],"methodology":[115],"delivers":[116],"important":[117],"information":[118],"about":[119],"behavior":[121],"phone":[123],"location":[124],"utilizing":[126],"advanced":[128],"sensor":[129],"suite":[130],"broad":[132],"availability":[133],"smartphones.":[135]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
